Mike Wierzbicki
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 Mar 6 comment Rigorous book on bootstrapping, boosting, bagging, etc. @user782220 For the boosting list, I'd start with the 'overview' papers he lists. Schapire's papers seem to be on the more rigorous end of the spectrum. For bagging, Breiman's papers are the place to start. Also, the bagging list has a few Annals of Statistics papers. These are (obviously) from a statistical point of view, but are quite 'rigorous.' As for Efron's books, I don't know how 'rigorous' you're hoping to get, but you really can't go wrong with the 1994 text (IMO). Another good bootstrap reference is Davison & Hinkley. Mar 4 answered Rigorous book on bootstrapping, boosting, bagging, etc. Feb 19 comment How to get from $a\sqrt{1 + \frac{b^2}{a^2}}$ to $\sqrt{a^2 + b^2}$ Hint: for positive $a$, $a = \sqrt{a^2}$. Feb 6 comment Time Series and statistics @Probabilityman Oops, sorry about that. Feb 6 revised Time Series and statistics fixed my mistake Feb 6 suggested approved edit on Time Series and statistics Feb 6 comment Time Series and statistics @DilipSarwate Ah sorry, yes I think you're correct. It was previously written as (Xt - j) and I didn't even think about whether it should be X(t)-j or X(t-j). The latter makes much more sense. Feb 6 revised Time Series and statistics fixed typos and added latex Feb 6 suggested approved edit on Time Series and statistics Jan 18 answered Mathematical toys? Jan 18 comment Mathematical toys? Define "serious." Jan 18 awarded Fanatic Jan 16 comment Generalization of variance to random vectors Note: the covariance matrix contains covariances, not correlations (i.e. the elements are not constrained to $[-1,1]$). Further note: the diagonals of the covariance matrix are variances. Nov 30 revised finding interval where inequality holds fixed up the TeX Nov 30 suggested approved edit on finding interval where inequality holds Nov 24 answered Puzzle: numerical pattern recognition Nov 23 answered Ways to teach fractions Nov 9 awarded Enthusiast Nov 4 comment Finding a formula to sum natural numbers up to $n$ I love this trick -- usually blows the mind of at least one student when shown to them. Can you do something similar for the sum of squares, cubes, etc? Nov 4 comment Working out the variance of the Poisson distribution Take a look at factorial moments and factorial moment generating functions (That's what he's using).